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We develop a general framework for measuring biases in expectation formation. The method is based on the insight that biases can be inferred from the response of forecast errors to past news. Empirically, biases are measured by flexibly estimating the impulse response function of forecast...
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problem, or cognitive bias, which may be the result of erroneous heuristics. Furthermore, the author found that investor …
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subjective beliefs on the distribution of returns. However, the bias of these endogenous subjective beliefs induces the choice of …
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This paper provides evidence on the hypothesis that many behavioral finance patterns are so deeply rooted in human behavior that they are difficult to overcome by learning. We test this on a target group which has undoubtedly very strong incentives to learn efficient behavior, i.e. fund...
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.e. the reflection effect and the home bias. Training also reduces the affinity to conformity, leading to less reliance on …
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We consider two semiparametric models for the weight function in a bias sample model. The object of our interest …
Persistent link: https://www.econbiz.de/10010274127
We show that managerial overconfidence, which has been found to influence a number of corporate financial decisions, also affects corporate risk management. We find that managers increase their speculative activities using derivatives following speculative gains, while they do not reduce their...
Persistent link: https://www.econbiz.de/10010281528